The NNSYSID Toolbox - A MATLAB Toolbox for System                Identification with Neural Networks

Peter Magnus Nørgård; Ole Ravn; Lars Kai Hansen; Niels Kjølstad Poulsen

doi:10.1109/CACSD.1996.555321

The NNSYSID Toolbox - A MATLAB Toolbox for System Identification with Neural Networks

Peter Magnus Nørgård, Ole Ravn, Lars Kai Hansen, Niels Kjølstad Poulsen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

To assist the identification of nonlinear dynamic systems, a set of tools has been developed for the MATLAB(R) environment. The tools include a number of different model structures, highly effective training algorithms, functions for validating trained networks, and pruning algorithms for determination of optimal network architectures. The toolbox should be regarded as a nonlinear extension to the system identification toolbox provided by The MathWorks, Inc. This paper gives a brief overview of the entire collection of toolbox functions

Original language	English
Title of host publication	Proceedings of the 1996 IEEE Symposium on Computer-Aided Control System Design
Place of Publication	Dearborn, Michigan, USA
Publisher	IEEE
Publication date	1996
Pages	374-379
ISBN (Print)	0-7803-3032-3
DOIs	https://doi.org/10.1109/CACSD.1996.555321
Publication status	Published - 1996
Event	1996 IEEE International Symposium on Computer-Aided Control System Design - Dearborn, United States Duration: 15 Sept 1996 → 18 Sept 1996 https://ieeexplore.ieee.org/xpl/conhome/4067/proceeding

Conference

Conference	1996 IEEE International Symposium on Computer-Aided Control System Design
Country/Territory	United States
City	Dearborn
Period	15/09/1996 → 18/09/1996
Internet address	https://ieeexplore.ieee.org/xpl/conhome/4067/proceeding

Bibliographical note

Copyright: 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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Cite this

@inproceedings{8ae0377a0fee49f18a856b967d91d7a7,

title = "The NNSYSID Toolbox - A MATLAB Toolbox for System Identification with Neural Networks",

abstract = "To assist the identification of nonlinear dynamic systems, a set of tools has been developed for the MATLAB(R) environment. The tools include a number of different model structures, highly effective training algorithms, functions for validating trained networks, and pruning algorithms for determination of optimal network architectures. The toolbox should be regarded as a nonlinear extension to the system identification toolbox provided by The MathWorks, Inc. This paper gives a brief overview of the entire collection of toolbox functions",

author = "N{\o}rg{\aa}rd, {Peter Magnus} and Ole Ravn and Hansen, {Lars Kai} and Poulsen, {Niels Kj{\o}lstad}",

note = "Copyright: 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 1996 IEEE International Symposium on Computer-Aided Control System Design, CACSD'96 ; Conference date: 15-09-1996 Through 18-09-1996",

year = "1996",

doi = "10.1109/CACSD.1996.555321",

language = "English",

isbn = "0-7803-3032-3",

pages = "374--379",

booktitle = "Proceedings of the 1996 IEEE Symposium on Computer-Aided Control System Design",

publisher = "IEEE",

address = "United States",

url = "https://ieeexplore.ieee.org/xpl/conhome/4067/proceeding",

}

Nørgård, PM, Ravn, O , Hansen, LK & Poulsen, NK 1996, The NNSYSID Toolbox - A MATLAB Toolbox for System Identification with Neural Networks. in Proceedings of the 1996 IEEE Symposium on Computer-Aided Control System Design. IEEE, Dearborn, Michigan, USA, pp. 374-379, 1996 IEEE International Symposium on Computer-Aided Control System Design, Dearborn, Michigan, United States, 15/09/1996. https://doi.org/10.1109/CACSD.1996.555321

The NNSYSID Toolbox - A MATLAB Toolbox for System Identification with Neural Networks. / Nørgård, Peter Magnus; Ravn, Ole ; Hansen, Lars Kai et al.
Proceedings of the 1996 IEEE Symposium on Computer-Aided Control System Design. Dearborn, Michigan, USA: IEEE, 1996. p. 374-379.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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N1 - Copyright: 1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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